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AI Personalized Actionable data Intelligence.

Royal Saturn SaaS platform accepts any data format, enabling custom AI model development for precise scoring and comparative analytics.
Score

Submit any item, regardless of its composition, to the Royal Saturn API. Direct it to a designated AI model of a user. This system will meticulously analyze each component of your dataset, calculating a score that reflects how much the specific user is likely to appreciate the item described by the dataset.

Compare

Submit a data object along with a supplementary list of various items. Inform us about the user who is reviewing these items. We will then determine and inform you which item from the list most closely aligns in value with the primary item, as perceived by that specific user.

Combine

Leverage our scoring or comparison services, but this time, direct them to multiple users. We will score or compare while considering the preferences of all these users, striving to find a balanced solution that achieves maximum satisfaction across the board.

Who are we

How It Works

Inform

Users have the flexibility to communicate their opinions about each data item to the model. These data items can be diverse, ranging from lists to numerical values. The system, understanding each preference, recognizes that while certain values are favorable , still less acceptable ones are still possible.

Tweak

Users can modify their attitude towards any data item. Additionally, your system can communicate 'intent' or 'notion' events to Royal Saturn, specific to each user for every type of data. Royal Saturn will mature the model for that user based on these notions

Score

Send an array of any structure datasets along with a user model ID to our API. The system will employ the specified user's AI model to evaluate and score each dataset

Compare

Use our API to send an array of structured datasets accompanied by a user model ID. The system utilizes the user's AI model to determine the similarity of each dataset to a specific subject dataset, focusing on aspects that your user deems significant

Combine AI models

Utilize multiple user models to score or compare datasets, aiming to achieve a balance that meets the preferences of the majority of users.

How it works
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